junewind Goto Github PK

air-combat-reinforcement-learning

利用值函数逼近网络设计无人机空战自主决策系统，目前是初步的程序编写，之后会不断更新和详解。

bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

beauty

code-for-error-bounds-of-imitating-policies-and-environments

deep-pilco-torch

Deep PILCO PyTorch Implementation

deeppilco

deterministic-gail-pytorch

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

htn_guided_rl

Making RL more efficient by using domain-knowledge embedded in HTNs, tested on Minecraft platform

ilpo

Official implementation of ICML paper Imitating Latent Policies from Observation

imitation-learning-paper-lists

Paper Collection for Imitation Learning in RL.

imitation_learning

PyTorch implementation of some reinforcement learning algorithms: Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), V-MPO, Behavior Cloning (BC). More algorithms will be added.

junction_classification

use Matlab code to classify 10 junctions on campus/Pattern recognition coursework

junewind.github.io

offline-rl-neurips.github.io

parl

A high-performance distributed training framework for Reinforcement Learning

plot

Codes for plotting in the RL project

policies_logic_programs

Few-shot Bayesian Imitation Learning with Policies as Logic over Programs

policy-gradient

A simple policy gradient algorithm

python-parallel

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

reinforcement-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement-learning-with-prior-knowledge

RL experiment with prior knowledge

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rl-based-rule-learning

rl-priorknowledge

rl-transfer

Learning to Transfer Knowledge in Playing Atari

rlbnk

code for RLBNK paper

rlpyt

Reinforcement Learning in PyTorch

sg_dbn

Implementation of a dynamic bayesian network used to learn a social greeting behavioral intervention

tangjianpku.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes